Depth Estimation

Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images. Newer methods can directly estimate depth by minimizing the regression loss, or by learning to generate a novel view from a sequence. The most popular benchmarks are KITTI and NYUv2. Models are typically evaluated according to a RMS metric.

Source: DIODE: A Dense Indoor and Outdoor DEpth Dataset

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 526–550 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
Active Perception with A Monocular Camera for Multiscopic Vision	Jan 22, 2020	Depth EstimationStereo Matching	CodeCode Available	1	5
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation	Sep 4, 2021	DecoderDepth Estimation	CodeCode Available	1	5
MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network	Jul 15, 2025	Depth EstimationDepth Prediction	CodeCode Available	1	5
MulT: An End-to-End Multitask Learning Transformer	May 17, 2022	DecoderDepth Estimation	CodeCode Available	1	5
Distilled Semantics for Comprehensive Scene Understanding from Videos	Mar 31, 2020	Depth EstimationKnowledge Distillation	CodeCode Available	1	5
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1	5
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data	Feb 3, 2020	Depth EstimationDepth Prediction	CodeCode Available	1	5
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution	Apr 14, 2021	Depth EstimationDepth Map Super-Resolution	CodeCode Available	1	5
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision	Aug 24, 2021	AllDepth Estimation	CodeCode Available	1	5
Discrete Time Convolution for Fast Event-Based Stereo	Jan 1, 2022	Depth EstimationStereo Matching	CodeCode Available	1	5
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching	Jul 31, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion	Nov 3, 2023	Depth Estimationobject-detection	CodeCode Available	1	5
Monocular Visual-Inertial Depth Estimation	Mar 21, 2023	Depth CompletionDepth Estimation	CodeCode Available	1	5
Disparity Estimation Using a Quad-Pixel Sensor	Sep 1, 2024	Depth EstimationDisparity Estimation	CodeCode Available	1	5
Automated Distance Estimation for Wildlife Camera Trapping	Feb 9, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model	Nov 13, 2023	DenoisingDepth Estimation	CodeCode Available	1	5
Digging into contrastive learning for robust depth estimation with diffusion models	Apr 15, 2024	Contrastive LearningDenoising	CodeCode Available	1	5
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Apr 28, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
Differentiable Diffusion for Dense Depth Estimation from Multi-view Images	Jun 16, 2021	Depth Estimation	CodeCode Available	1	5
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection	Jul 18, 2022	3D Object DetectionAttribute	CodeCode Available	1	5
Digging Into Self-Supervised Monocular Depth Estimation	Jun 4, 2018	Camera Pose EstimationDepth Estimation	CodeCode Available	1	5
Brain Captioning: Decoding human brain activity into images and text	May 19, 2023	Brain DecodingDepth Estimation	CodeCode Available	1	5
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals	Jan 8, 2021	DecoderDepth Estimation	CodeCode Available	1	5
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling	Sep 19, 2022	Depth EstimationDomain Adaptation	CodeCode Available	1	5

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All datasets Stanford2D3D Panoramic NYU-Depth V2 DCM eBDtheque ScanNetV2 Cityscapes test DIODE KITTI 2015 Mars DTM Estimation ScanNet 4D Light Field Dataset KITTI Eigen split

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OmniDepth	RMSE	0.62	—	Unverified
2	SphereDepth	RMSE	0.45	—	Unverified
3	Jin et al.	RMSE	0.42	—	Unverified
4	BiFuse with fusion	RMSE	0.41	—	Unverified
5	HoHoNet (ResNet-101)	RMSE	0.38	—	Unverified
6	PanoDepth	RMSE	0.37	—	Unverified
7	BiFuse++	RMSE	0.37	—	Unverified
8	UniFuse with fusion	RMSE	0.37	—	Unverified
9	DisConv	RMSE	0.37	—	Unverified
10	SliceNet	RMSE	0.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	A2J	mAP	8.61	—	Unverified
2	PAD-Net	RMS	0.79	—	Unverified
3	MS-CRF	RMS	0.59	—	Unverified
4	DORN	RMS	0.51	—	Unverified
5	Freeform	RMS	0.43	—	Unverified
6	Optimized, freeform	RMS	0.43	—	Unverified
7	VNL	RMS	0.42	—	Unverified
8	BTS	RMS	0.41	—	Unverified
9	TransDepth (AGD+ ViT)	RMS	0.37	—	Unverified
10	AdaBins	RMS	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.35	—	Unverified
2	MIDAS	Abs Rel	0.31	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.49	—	Unverified
2	MIDAS	Abs Rel	0.42	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeReS	absolute relative error	0.1	—	Unverified
2	DELTAS	absolute relative error	0.09	—	Unverified
3	Distill Any Depth	absolute relative error	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SDC-Depth	RMSE	6.92	—	Unverified
2	SwinMTL	RMSE	6.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AIP-Brown	Delta < 1.25	0.36	—	Unverified
2	LeRes	Delta < 1.25	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-Net (Ours)	Absolute relative error (AbsRel)	0.09	—	Unverified
2	H-Net (Ours) Full Eigen	Absolute relative error (AbsRel)	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLPDepth	Delta < 1.25	0.43	—	Unverified
2	SRDINET (Model A)	Delta < 1.25	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Atlas (finetuned)	RMSE	0.17	—	Unverified
2	Atlas (plain)	RMSE	0.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LFattNet	BadPix(0.01)	17.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightDepth	Number of parameters (M)	42.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniFuse	Abs Rel	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	X-TC (Cross-Task Consistency)	L1 error	1.63	—	Unverified